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Rate Limiting has 14 facts recorded in Dontopedia across 7 references, with 3 live disagreements.
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doc:beam/2ebc9d3d-06eb-46eb-b14e-3c3c1d5d6954if __name__ == '__main__': app.run(debug=True, threaded=True) ``` ### Explanation 1. **Flask Application Setup**: - Import necessary modules from Flask and `flask_limiter`. - Initialize the Flask application and the rate limiter…
doc:beam/46ca9ebb-aa15-4216-b0fc-73bb808cc32aexcept Exception as e: raise HTTPException(status_code=500, detail=str(e)) # Function to call dense retrieval @retry(stop=stop_after_attempt(3), wait=wait_fixed(1)) def call_dense_retrieval(query: SearchQuery): try: …
doc:beam/98f98207-6581-4728-8281-9dd48c161532# Custom key function to identify user roles def get_user_role(): # Assume user role is stored in the request context return getattr(g, 'user_role', 'basic') # Configure Flask-Limiter with custom key function limiter = Limiter( …
doc:beam/db5e29fa-8f24-49ea-95be-f3db04687affendpoint = "https://api.example.com/endpoint" # Define the API key api_key = "YOUR_API_KEY" # Define the rate limit rate_limit = 100 # 100 requests per minute request_interval = 60 / rate_limit # Time interval between requests in second…
doc:beam/3860adcf-2292-4f54-a98e-f705e6e2c4e8return jsonify(limited_tuning_data) def fetch_limited_tuning_data(offset, limit): all_data = fetch_all_tuning_data() total_data_count = len(all_data) limited_data_count = max(1, total_data_count // 100) # Ensure at least 1…
doc:beam/48a0d7bc-a2f7-41cc-8be2-005a60bb65a5- `wait_for_token`: Waits for a token to become available. If the token bucket is empty, it waits until tokens are refilled. 2. **make_api_call Function**: - Uses the `wait_for_token` method to ensure that the rate limit is respected…
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